Research suggests non-experts associate different content with the terms “global warming” and “climate change.” We test this claim with Twitter content using supervised learning software to categorize tweets by topic and explore differences between content using “global warming” and “climate change” between 1 January 2012 and 31 March 2014. Twitter data were combined with temperature records to observe the extent to which temperature was associated with Twitter discussions. We then used two case studies to examine the relationship between extreme temperature events and Twitter content. Our findings underscore the importance of considering climate change communication on social media.
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Sara Yeo
Author
University of Utah
Zachary Handlos
Author
Northern Illinois University
Alexandra Karambelas
Author
Columbia University
Leona Yi-Fan Su
Author
University of Utah
Kathleen Rose
Author
University of Wisconsin-Madison
Dominique Brossard
Author
University of Wisconsin-Madison
Citation
ISSN
:
1824-2049
Publication Name:
Journal of Science Communication
Volume:
16
Number:
5
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